42 citations · 81 across the 10 of their papers we have counts for
4 papers · 1 filter
Learning Hard Optimization Problems: A Data Generation Perspective
James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck
Optimization problems are ubiquitous in our societies and are present in almost every segment of the economy. Most of these optimization problems are NP-hard and computationally de…
Differentially Private Optimal Power Flow for Distribution Grids
Vladimir Dvorkin, Ferdinando Fioretto, Pascal Van Hentenryck +2
Although distribution grid customers are obliged to share their consumption data with distribution system operators (DSOs), a possible leakage of this data is often disregarded in…
Bilevel Optimization for Differentially Private Optimization in Energy Systems
Terrence W. K. Mak, Ferdinando Fioretto, Pascal Van Hentenryck
This paper studies how to apply differential privacy to constrained optimization problems whose inputs are sensitive. This task raises significant challenges since random perturbat…
Privacy-Preserving Obfuscation for Distributed Power Systems
Terrence W. K. Mak, Ferdinando Fioretto, Pascal Van Hentenryck
This paper considers the problem of releasing privacy-preserving load data of a decentralized operated power system. The paper focuses on data used to solve Optimal Power Flow (OPF…